Prediction of state anxiety by machine learning applied to photoplethysmography data

BACKGROUND: As the human behavior is influenced by both cognition and emotion, affective computing plays a central role in human-machine interaction. Algorithms for emotions recognition are usually based on behavioral analysis or on physiological measurements (e.g., heart rate, blood pressure). Amon...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:PeerJ
Päätekijät: Perpetuini, David, Chiarelli, Antonio Maria, Cardone, Daniela, Filippini, Chiara, Rinella, Sergio, Massimino, Simona, Bianco, Francesco, Bucciarelli, Valentina, Vinciguerra, Vincenzo, Fallica, Piero, Perciavalle, Vincenzo, Gallina, Sabina, Conoci, Sabrina, Merla, Arcangelo
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: PeerJ Inc. 2021
Aiheet:
Bioengineering
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC7812926/
https://ncbi.nlm.nih.gov/pubmed/33520434
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.10448
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